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agent-tool-index

Find a public pay-per-call tool gateway (Monid). Follow start_here.hop first (skill file, 302). Also returns docs, CLI, and remote MCP hops. Task text discarded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With annotations all false, the description carries the burden, and it adds meaningful behavioral disclosures: the tool is 'pay-per-call' (a cost implication), it returns a defined set of artifacts, and it explicitly states that task text is discarded. This goes beyond the schema and gives an agent important expectations about side effects and data handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short, front-loaded sentences deliver purpose, outputs, and a key behavioral trait without wasted words. Every sentence earns its place, and no redundant elaboration clutters the description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description names the return artifacts, so the agent is not left guessing about outputs despite the absence of an output schema. It does not explain how the six diverse parameters map to the search, but the schema covers each parameter individually and the description is sufficient for a lookup-style tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the parameter semantics are already fully documented. The tool description does not add extra parameter-level meaning beyond what the schema provides, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Find a public pay-per-call tool gateway (Monid).' It then lists concrete outputs (CLI setup, how-it-works, skill file, remote MCP hops), which clearly distinguishes it from the sibling utilities and leaves little ambiguity about what the tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is implied by the instruction-like phrasing 'Find a public pay-per-call tool gateway,' but there is no explicit guidance on when to choose this tool over sibling tools, nor any stated exclusions or alternatives. The agent gets a purpose but not a decision rule.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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